RNAsmc

RNAsmc detects and quantitatively compares RNA secondary structure (RSS) motifs to characterize structural heterogeneity and functional variation.


Key Features:

  • Structural Motif Detection and Quantification: Identifies RSS motifs, scores similarity among structural components, and quantifies variations associated with single nucleotide variants (SNVs), single nucleotide polymorphisms (SNPs), insertions, and deletions.
  • Robust Comparative Analysis: Maintains performance across variable sequence lengths, folding protocols, and chemical probing–derived structural profiles, enabling detection of RiboSNitches and evaluation of allosteric effects.

Scientific Applications:

  • RNA Family Clustering and Functional Analysis: Clusters RNA families based on structural heterogeneity and assesses structure–function relationships in gene regulation and RNA stability.

Methodology:

RNAsmc applies a dynamic alignment framework to compare RSS motifs across sequences, enabling precise structural similarity scoring and clustering despite sequence variability and experimental noise.

Topics

Details

License:
GPL-2.0
Cost:
Free of charge
Tool Type:
library
Operating Systems:
Mac, Linux, Windows
Programming Languages:
R
Added:
3/18/2023
Last Updated:
11/24/2024

Operations

Data Inputs & Outputs

Gene expression profiling

Publications

Wang H, Lu X, Zheng H, Wang W, Zhang G, Wang S, Lin P, Zhuang Y, Chen C, Chen Q, Qu J, Xu L. RNAsmc: A integrated tool for comparing RNA secondary structure and evaluating allosteric effects. Computational and Structural Biotechnology Journal. 2023;21:965-973. doi:10.1016/j.csbj.2023.01.007. PMID:36733704. PMCID:PMC9876829.

Documentation